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Type: Bug
Il m'a pas repondu !
Extension version: 0.21.2
VS Code version: Code 1.94.2 (384ff7382de624fb94dbaf6da11977bba1ecd427, 2024-10-09T16:08:44.566Z)
OS version: Windows_NT x64 10.0.26100
Mode…
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```
What steps will reproduce the problem?
2 videocard installed, everything installed and running, here a benchmark
#1: 'CAL++ Device #1 'ATI CYPRESS'': 82426.3 PMKs/s (RTT 2.4)
#2: 'CAL++ Device #…
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```
What steps will reproduce the problem?
2 videocard installed, everything installed and running, here a benchmark
#1: 'CAL++ Device #1 'ATI CYPRESS'': 82426.3 PMKs/s (RTT 2.4)
#2: 'CAL++ Device #…
-
```
What steps will reproduce the problem?
2 videocard installed, everything installed and running, here a benchmark
#1: 'CAL++ Device #1 'ATI CYPRESS'': 82426.3 PMKs/s (RTT 2.4)
#2: 'CAL++ Device #…
-
```
What steps will reproduce the problem?
2 videocard installed, everything installed and running, here a benchmark
#1: 'CAL++ Device #1 'ATI CYPRESS'': 82426.3 PMKs/s (RTT 2.4)
#2: 'CAL++ Device #…
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I wander whether your project can be trained by multiple GPUs?
I have tried to use the command like --gpu 0,1,2 but it seems it does not support this way.
But in Dai's paper, they use 8 GPUs to train…
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```
What steps will reproduce the problem?
2 videocard installed, everything installed and running, here a benchmark
#1: 'CAL++ Device #1 'ATI CYPRESS'': 82426.3 PMKs/s (RTT 2.4)
#2: 'CAL++ Device #…
-
```
What steps will reproduce the problem?
2 videocard installed, everything installed and running, here a benchmark
#1: 'CAL++ Device #1 'ATI CYPRESS'': 82426.3 PMKs/s (RTT 2.4)
#2: 'CAL++ Device #…
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Hi, kengz,
I meet a problem on how to run on multiple GPUs? In the initial of class `ConvNet ` in conv.py, the code assigned device as follows:
`self.to(self.device)`
but how to extent to multi G…
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Great job! However, I encountered a problem when training Llama-2-13B with multiple GPUs. The program would stall in the validation process without continuing or interrupting. Have you ever encountere…